Instructions to use WindstormLabs/translate-fi-tpi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-tpi with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="WindstormLabs/translate-fi-tpi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-tpi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1db3cd7020a4bf7f2b6d381b44875a8a7000a457600d0e7b24c5eae07e2dc5c7
- Size of remote file:
- 651 kB
- SHA256:
- 46e3efd53dc0eb156a5df1ea3b0483a56f97f12209c2a6df6c2200e105e3fa71
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